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ARRU GAMES — независимая студия мобильной разработки, основанная в 2021 году. Команда работает над казуальными Merge-играми (Travel Merge Family, Dark Merge Farm). Задачи: — Играть в тестовые версии игры и искать ошибки. — Проверять новые игровые механики и изменения перед выпуском. — Пытаться «сломать» механику нестандартными действиями и проверять неочевидные сценарии. — Повторять найденные ошибки и выяснять условия их возникновения. — Описывать баги так, чтобы разработчик мог воспроизвести проблему; делать скриншоты и записывать видео с ошибками. — После исправления проверять, исчезла ли ошибка и не повлияло ли исправление на соседние сценарии. — Смотреть на игру глазами обычного игрока и сообщать о странностях или неудобствах. Требования: — Внимательность, любопытство и проактивность. — Готовность самостоятельно разбираться в проблеме, проверять разные условия и повторять сценарии. — Наличие ПК и Android‑смартфона (опционально iPhone/iPad). — Опыт игры в мобильные игры. — Опыт работы в тестировании не обязателен — рассматриваются студенты и кандидаты без коммерческого опыта. Будет плюсом: — Опыт с мобильными Merge, Casual или другими F2P-играми. — Любой опыт тестирования игр или приложений (включая учебный или на собственных проектах). — Наличие iPhone / iPad. — Знакомство с Unity. Условия: — Полная занятость (full-time), удалённый формат работы 5/2. — Оплата: $500–800 в месяц, в зависимости от опыта и результатов собеседования. — Наставничество и поддержка опытной команды; возможность влиять на проект; начисление отпускных и больничных после испытательного срока. — Не рассматриваются кандидаты из РФ и РБ.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT ORGANIC GROWTH MEANS AT HIGGSFIELD Organic growth here is the set of channels that convert without media spend: search, AI assistants, and the content ecosystem they pull from. The channel has already brought in $2M in under a month, and conversion keeps climbing. So this isn't an experiment in the dark. It's a proven channel that nobody has figured out how to scale yet, because the rules are still being written. Millions of people now ask ChatGPT, Claude, Gemini and Perplexity which tool to use instead of typing it into Google. What those answers say about Higgsfield decides who discovers us and whether they choose us. An Organic Growth Manager here is a high-agency operator who: - treats SEO, AEO and GEO as one channel, not three disciplines; - turns observations into hypotheses, tests them, and scales what moves the number; - builds systems and automations instead of doing the same research by hand every week; - moves work through adjacent teams, not just through their own hands; - owns the line from visibility to sign-ups, not just rankings. WHAT YOU WILL OWN Visibility across search and AI assistants - Understand how Higgsfield and competitors appear across Google and across LLMs — and why; - Map how people actually ask for products in our category, and identify the queries worth winning; - Find the gaps and the weak spots, including results that currently work against us. The source ecosystem - Understand which sites, communities, creators and formats different engines trust and retrieve; - Shape what information exists about Higgsfield online and how our category gets described; - Work with content, product and external partners to turn that into things that actually get published. Measurement and experimentation - Connect visibility, citations, traffic, sign-ups and revenue — the channel is judged on conversion, not vanity metrics; - Build lightweight systems (Sheets, APIs, scripts, automation tools) to cut manual work; - Continuously test new sources, formats and tools as the engines evolve. WHO WE'RE LOOKING FOR We don't require experience in AEO or GEO — almost nobody has it. We care about how you solve unfamiliar problems, and about what you've already delivered somewhere else. Must-have - A measurable result you can walk us through. Which metric you moved, by how much, and what part of it was yours; - You turn data into decisions — and can explain why that decision and not another - Technically curious: you figure out new tools, systems and data on your own; - Has built or automated something before, rather than doing the same thing by hand every week; - Can move work through adjacent teams and external sites, strong cross-functional and partner skills - Fluent English, and comfortable working with content when needed; - High ownership: you don't wait for a task list, you understand the goal and figure out how to get there; Good to have - Experience in SEO, growth, analytics, content, engineering or automation; - Familiarity with LLM retrieval, RAG, or technical SEO; - Your own project, product or business — anything you built without a brief; - Strong understanding of the GenAI ecosystem. WHAT THIS ROLE IS NOT - It's not a channel with an existing playbook to execute; - It's not a role where someone hands you a task list; - It's not a fit if you prefer strategy over execution, or want predictable 9-to-5 workdays. THE DEAL - Competitive salary in USD, reviewed as you grow; - On-site role in Almaty, Kazakhstan; - Access to Higgsfield products and the AI tools we use internally; - Breakfast, lunch and good coffee on us;

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Manager, Infrastructure Lease Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's infrastructure lease portfolio — the leased assets underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing lease portfolio is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's infrastructure lease portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842, and help build the processes, controls, and systems that let this function scale. Responsibilities Lead end-to-end accounting for one of Anthropic's AI infrastructure lease portfolio, including monthly close, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems Design and scale systems, processes, and controls to support a rapidly growing lease portfolio Collaborate with and mentor accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors on lease accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum qualifications Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements Have experience managing a significant lease portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring and developing accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases) Experience with lease accounting software at scale SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm Proficiency in Python for data analysis and workflow automation Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization Familiarity with cross-platform threat analysis and OSINT techniques The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: India GROWTH MEASURED IN MONTHS, NOT YEARS. DIRECT ACCESS TO THE FOUNDING TEAM. OWN A LIVE SITE FROM DAY ONE. Human Archive builds the datasets that teach robots to work with their hands, captured from real people on factory floors, in kitchens and on construction sites across 30+ countries. We're YC-backed with $8.2M raised, and built by researchers from Stanford, Berkeley, NYU GRAIL, UPenn GRASP and JHU Robotics. The path here moves quickly: Operations Manager, then Regional Manager, then City Head, based on performance rather than time served.   THE ROLE As an Operations Manager, you own the deployment. From the moment equipment leaves our storage point to the moment the day's data is verified, it is yours to run: a team of five to six operators, a live site, and a set of problems nobody can solve for you from a desk. The stakes are real: robots learn from what we capture. A good deployment produces data that trains machines to work with their hands; a bad one produces footage nobody can use. That call gets made on the floor, by you, in the moment. It suits someone who is equally comfortable talking to a mechanic mid-shift and holding a strict data protocol when a site is pushing back. Most people can do one. We are looking for the ones who can do both.   RESPONSIBILITIES - Collect and verify camera inventory, batteries and accessories from the local storage point each morning - Travel with your team to the deployment site and set up for the day's collection - Brief and manage five to six field operators through the collection plan - Meet and coordinate with the site point of contact, typically a Director, Operations Head or owner of a factory, resort or restaurant - Check data quality through the day, including camera framing, battery levels and storage - Complete and verify the taxonomy for all footage collected on site - Reconcile inventory at day end and return it to the dark store manager - Transfer and upload the day's data, and submit the deployment report   WHERE THIS GOES You report to the Zone Head and the Operations Head, and work directly with the founding team. Each Operations Manager runs one deployment team of five to six field operators, with a home city and rotation across active national sites. Strong performers move fast. Regional Manager comes first, owning multiple deployment teams across a zone. City Head comes next, owning a city's full operations, including site partnerships and vendor relationships. We expect our operations leadership to come from this cohort.   WHO WE'RE LOOKING FOR Non-negotiable - Strong spoken English and Hindi. You are often our first point of contact with Directors, Operations Heads and owners of factories, resorts and restaurants - Willingness to work on site and travel, not from a desk - Ability to give clear direction to field teams in Hindi and English - Ability to make decisions independently when a deployment does not go to plan We're hiring two kinds of people: 1. Freshers: 2025 and 2026 pass-outs. Startup internship experience strongly preferred. If you've interned at an early-stage company and know what it's like when the process doesn't exist yet and you have to build it, this role will make sense to you. 2. People with 1–3 years of field or operations experience. Prior experience as an Operations Manager, City Ops, Fleet Ops or Field Ops at a startup. Quick commerce, home services, hyperlocal delivery and on-demand backgrounds map directly onto this role: companies like Snabbit, Blinkit, Zepto, Swiggy, Urban Company, Rapido and Porter. Prior experience is useful but not required. We train on our protocol and taxonomy. What we cannot train is spoken English and ownership.   THIS ROLE IS NOT FOR YOU IF - You want a fixed desk and a fixed city - You want predictable 10-to-6 hours - You are uncomfortable spending your day on factory floors, in kitchens and on shop floors - You would rather escalate a problem than solve it on the spot   TRAVEL This role requires substantial travel: a typical month may include a week each in Delhi NCR, Bengaluru and Assam. You should be comfortable with this before applying. Base location is Delhi NCR. All outstation work-related travel, accommodation, meals and commute are paid by the company and are not part of your CTC.   WORKING SCHEDULE - 6-day work week - Actual working hours are approximately 9–10 hours. On deployment days, a significant part of the day is spent travelling, over and above working hours. - Reporting time depends on the deployment and can be early morning. - Sunday deployments are limited to a maximum of two per month. - On non-deployment days you handle data transfer and upload, deployment planning, reporting and site coordination. These days run on more regular hours.   ELIGIBILITY - Any graduate degree (BBA, BA, B.Com http://B.Com, BHM, B.Tech http://B.Tech or equivalent). Hospitality, hotel management and general management backgrounds do particularly well in this role. - Batch: 2025 and 2026 pass-outs, or up to 3 years of relevant experience - No minimum CGPA cutoff. We hire on the interview, not the marksheet COMPENSATION Total CTC: ₹4 to 7 LPA, based on interview performance. 100% fixed. There is no variable or performance-linked component. Comp is revised at each step as you move up. - Probation: 2 months at full salary, no deduction - No service bond or training bond of any kind

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Staff/Lead Product Designer, Design System - Location: Espoo, Uusimaa, Finland - Department: Product Management - Reports to: Director of Product Design - Employment type: Permanent - Workplace model: Hybrid (3 days / week in office) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: We don't have a design system. What we have is a set of products built fast, for users who needed the imagery yesterday, that share a brand without sharing much else. Buttons that quietly disagree with each other. Spacing as a matter of personal taste. Several defensible ways to build a table, none of them the same. Nobody was sloppy - this is what shipping under real pressure leaves behind, and the interest on it now comes out of every sprint. As a Staff / Lead Product Designer, you'll build the thing from nothing. That starts small and slightly unglamorous: a Figma library people actually reach for and a design playbook that settles the arguments worth settling. Then tokens with a structure that holds. Then components in code, documented well enough that nobody has to ask you how they work. By the time it's a design system in the full sense, the hardest part - people using it by default - is already solved, because you'll have built it in the open with the teams who had to adopt it. This is a hands-on, opinionated, sleeves-rolled-up role. You'll be the highest craft bar in the domain and the person who raises everyone else's. You'll spend as much time with frontend engineers as with designers, quite possibly in their repo. Real ownership. Very little existing process to inherit. If that sounds like a warning, it isn't. It's the job. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.. YOUR DAY-TO-DAY RESPONSIBILITIES - Start with a library and a playbook. Grow it into a system. Early on that means a Figma library, shared foundations and written guidance that gives teams a default instead of a decision. Later it means token architecture, components in code and documentation that scales past you. You'll decide the sequence, what's a token and what's a local decision, and where the line sits between flexibility and consistency. Those calls are yours to make, not to wait for. - Co-design with frontend, in the code. Our engineers will build most of the components. You'll be in the conversation about props, state and composition, reading PRs and prototyping in a branch when that's the fastest way to prove a point. Figma is where you think, not where the system ends up living. - Sell it. Repeatedly. A design system nobody adopts is a very tidy failure. You'll make the case to product managers, engineers and leadership, run office hours, and do migration work yourself when that's what unblocks a team. - Set and hold the craft bar. Across the whole domain, at the pixel level, in public. Kind about people, uncompromising about the work. - Put AI to actual work. Component documentation, variant generation, token maintenance, migration codemods, spec drafting. The tedious 60% of systems work is exactly what these tools are good at, and we want someone with strong instincts about which 60%. - Stay accountable for what ships. Adoption, consistency, shipped UI quality, how quickly teams can build - not the size of your Figma library. - Work across a big, networked organisation. Designers in other domains, brand and marketing design, sales engineers, customers. Consistency is a negotiation, not a mandate you email out. WHAT WE'RE LOOKING FOR Must haves: - You've done 0-to-1 before, somewhere messy. You've taken a design system from nothing to adopted, in an organisation that had neither and wasn't yet convinced it needed one. You know how the first six months actually go, which corners are safe to cut, and how to structure tokens so they survive the next product rather than getting quietly forked. - You're fluent enough in code to be useful. Reading React and CSS, understanding component APIs, running the repo locally, opening a PR without ceremony. You don't need to be an engineer, but you do need to hold your end of a technical conversation and design things that are buildable as drawn. - You can influence without authority. You'll spend real energy convincing people who have their own roadmaps and their own deadlines. Being right won't be enough and you know that already. - Your craft is exceptional. Deep command of layout systems, typography, colour and visual hierarchy, applied in dense, complex professional interfaces. Detail-obsessed in the good way: the way that makes a whole product feel considered. - You have a real point of view on AI in design work. Not a vibe, a practice. You've used these tools to accelerate documentation, generate and audit variants, maintain tokens, or migrate code, and you can tell us where they helped and where they made a confident mess. - You've owned UX end-to-end for complex professional products. Discovery through shipped product through what you learned afterwards, with a portfolio that shows the systems thinking as well as the surfaces. Expert in Figma. NICE TO HAVES: - Accessibility as a default rather than an audit. - Experience with theming, dark mode, or multi-brand systems. - Data-dense, map-heavy or real-time interfaces. - Public writing or open-source contribution on design systems. - Time spent in high-stakes or regulated environments where getting it wrong is expensive. The disposition, which matters more than any of the above: outcome-driven thinking over perfect artifacts (design is what ships); curiosity about users, about design and technology trends and history, and about better ways of working; pragmatic product judgment, knowing when "good and shipped" beats "perfect but late"; clear communication and respectful collaboration. APPLICATION PROCESS 1. Recruiter screen 2. Hiring Manager interview 3. Portfolio review 4. Task 5. Final interview WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters - and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependant on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us - we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Warsaw, Poland [EN] Right now, our team is porting one of the most atmospheric game universes of the 21st century to a modern engine. You will be working with a dark aesthetic, where art meet madness, rust, and decay. We are looking for a Lead Props/Environment 3D Artist to head our team, set a high quality bar for props and environment art, and perfectly capture the spirit of the original in modern AAA graphics. Responsibilities: Team Leadership: Lead, mentor, and inspire a team of Prop Artists, providing regular feedback and conducting performance reviews. Quality Control: Ensure all assets meet the specific artistic and technical requirements of our AAA partners, maintaining a "Gold Standard" output. Pipeline Management: Develop and optimize efficient modeling and texturing workflows (PBR) to meet demanding production schedules. Project Oversight: Manage the distribution of tasks within the team and ensure deadlines are met across various active projects. Cross-Department Collaboration: Work closely with Art Directors, Technical Artists, and Project Managers to identify potential risks and solve production bottlenecks. Documentation: Create and maintain technical briefs, style guides, and best-practice documentation for the props department. [PL] Opis stanowiska W tej chwili nasz zespół przenosi jeden z najbardziej klimatycznych uniwersów gier XXI wieku na nowoczesny silnik. Będziesz pracować z mroczną estetyką, w której sztuka spotyka się z szaleństwem, rdzą i rozkładem. Poszukujemy Lead 3D Artysty ds. Propsów/Environmentu, który pokieruje naszym zespołem, wyznaczy wysokie standardy jakości dla assetów typu props i environment oraz doskonale odda ducha oryginału w nowoczesnej grafice AAA. Zakres obowiązków: Zarządzanie zespołem: Kierowanie, wspieranie i inspirowanie zespołu grafików, udzielanie regularnego feedbacku oraz przeprowadzanie ocen pracowniczych. Kontrola jakości: Dbanie o to, aby wszystkie elementy spełniały rygorystyczne wymagania artystyczne i techniczne naszych partnerów, zachowując najwyższy rynkowy standard. Zarządzanie procesem produkcyjnym: Tworzenie i optymalizacja wydajnych etapów pracy nad modelowaniem i teksturowaniem w oparciu o fizyczne renderowanie materiałów, aby sprostać wymagającym harmonogramom. Nadzór nad projektami: Koordynowanie podziału zadań w zespole oraz dbanie o dotrzymywanie terminów w różnych bieżących projektach. Współpraca między zespołowa: Ścisła współpraca z dyrektorami artystycznymi, grafikami technicznymi oraz kierownikami projektów w celu identyfikacji potencjalnego ryzyka i rozwiązywania problemów produkcyjnych. Dokumentacja: Tworzenie i aktualizowanie wytycznych technicznych, przewodników stylistycznych oraz dokumentacji dobrych praktyk dla działu zajmującego się obiektami. Requirements [EN] Experience: 5+ years of experience in game art, with at least 2 years in a Lead or Supervisory role. Portfolio: A strong portfolio demonstrating expert-level skill in creating high-quality hard-surface and organic props (please include examples of various styles). Software Mastery: Expert knowledge of Maya, 3ds Max, or Blender, as well as ZBrush and the Substance Suite (Painter/Designer). Engine Proficiency: Deep understanding of Unreal Engine (UE4/UE5) or proprietary AAA engines. Technical Knowledge: Complete mastery of PBR workflows, UV optimization, baking, and LOD management. Communication: Strong English communication skills, both written and verbal, with the ability to articulate artistic feedback clearly. Adaptability: Proven ability to switch between different art styles and technical constraints without losing quality. What We Offer: Professional Diversity: The opportunity to work on multiple high-profile AAA IPs across different genres (Realistic, Sci-Fi, Stylized). Stable Growth: A permanent position in a growing company with a steady pipeline of world-class projects. Flexible Work: Competitive remote work options and a focus on healthy work-life balance (minimal crunch culture). Community: A supportive, international team of industry veterans who value knowledge-sharing and collaboration. [PL] Wymagania Ponad 5 lat doświadczenia w tworzeniu grafiki do gier, w tym co najmniej 2 lata na stanowisku lidera lub nadzorującego pracę zespołu. Przekonujące portfolio potwierdzające eksperckie umiejętności w tworzeniu wysokiej jakości obiektów nieożywionych oraz organicznych (prosimy o dołączenie przykładów w różnych stylach). Ekspercka znajomość programów Maya, 3ds Max lub Blender, a także ZBrush i pakietu Substance (Painter/Designer). Bardzo dobre zrozumienie środowiska Unreal Engine (UE4/UE5) lub autorskich silników klasy AAA. Pełne opanowanie etapów pracy z fizycznym renderowaniem materiałów, optymalizacją siatek UV, wypalaniem map oraz zarządzaniem poziomami szczegółowości modeli. Dobra znajomość języka angielskiego w mowie i piśmie Udokumentowana umiejętność sprawnego przechodzenia między różnymi stylami artystycznymi i ograniczeniami technicznymi bez utraty jakości. Oferujemy: Możliwość pracy przy wielu popularnych tytułach AAA z różnych gatunków (styl realistyczny, Sci-Fi, stylizowany). Zatrudnienie w rozwijającej się firmie ze stabilnym i ciągłym napływem światowej klasy projektów. Atrakcyjne opcje pracy zdalnej oraz dbałość o zdrową równowagę między życiem prywatnym a zawodowym (kultura pracy minimalizująca nadgodziny). Wspierający, międzynarodowy zespół weteranów branży, którzy cenią sobie dzielenie się wiedzą i współpracę. Benefits [EN] Medical Care package MyCafeteria system - including Multisport card and more Employee Assistance Program (EAP), offering confidential legal, financial, and personal counseling English or Polish language classes Sensibly flexible working hours Additional benefits: Care Bonus to cover health, educational and safety needs, corporate parties and team buildings [PL] Pakiet opieki medycznej System MyCafeteria – w tym karta MultiSport i wiele więcej Program Wsparcia Pracowników (EAP) – oferujący poufne porady prawne, finansowe oraz psychologiczne/osobiste Lekcje języka angielskiego lub polskiego Elastyczne godziny pracy (w ramach potrzeb projektu) Benefity dodatkowe: Care Bonus (pokrywający wydatki związane ze zdrowiem, edukacją i bezpieczeństwem), imprezy firmowe oraz wyjazdy integracyjne

Location: Bucharest, Romania AMC Studio is a world-leading 3D art and game development studio based in Bucharest, Romania, and part of the Keywords Studios international group. Founded in 1996 and with nearly 30 years of activity, AMC has provided 3D art services for major Triple-A titles such as The Witcher 3: Wild Hunt, Call of Duty, Dead Space, World of Tanks, and the Mafia franchise. At the core of the studio is a passionate team of artists whose adaptability across art styles - from stylized to photorealistic - brings game worlds to life. Right now, our team is porting one of the most atmospheric game universes of the 21st century to a modern engine. You will be working with a dark aesthetic, where art meet madness, rust, and decay. We are looking for a Lead Props/Environment 3D Artist to head our team, set a high quality bar for props and environment art, and perfectly capture the spirit of the original in modern AAA graphics. Responsibilities: Team Leadership: Lead, mentor, and inspire a team of Prop Artists, providing regular feedback and conducting performance reviews. Quality Control: Ensure all assets meet the specific artistic and technical requirements of our AAA partners, maintaining a "Gold Standard" output. Pipeline Management: Develop and optimize efficient modeling and texturing workflows (PBR) to meet demanding production schedules. Project Oversight: Manage the distribution of tasks within the team and ensure deadlines are met across various active projects. Cross-Department Collaboration: Work closely with Art Directors, Technical Artists, and Project Managers to identify potential risks and solve production bottlenecks. Documentation: Create and maintain technical briefs, style guides, and best-practice documentation for the props department. Requirements Experience: 5+ years of experience in game art, with at least 2 years in a Lead or Supervisory role. Portfolio: A strong portfolio demonstrating expert-level skill in creating high-quality hard-surface and organic props (please include examples of various styles). Software Mastery: Expert knowledge of Maya, 3ds Max, or Blender, as well as ZBrush and the Substance Suite (Painter/Designer). Engine Proficiency: Deep understanding of Unreal Engine (UE4/UE5) or proprietary AAA engines. Technical Knowledge: Complete mastery of PBR workflows, UV optimization, baking, and LOD management. Communication: Strong English communication skills, both written and verbal, with the ability to articulate artistic feedback clearly. Adaptability: Proven ability to switch between different art styles and technical constraints without losing quality. What We Offer: Professional Diversity: The opportunity to work on multiple high-profile AAA IPs across different genres (Realistic, Sci-Fi, Stylized). Stable Growth: A permanent position in a growing company with a steady pipeline of world-class projects. Flexible Work: Competitive remote work options and a focus on healthy work-life balance (minimal crunch culture). Community: A supportive, international team of industry veterans who value knowledge-sharing and collaboration. Benefits Competitive remuneration Projects aligned with your expertise and interests Collaboration with industry leaders on AAA titles Professional growth opportunities Flexible work arrangements An environment dedicated to diversity and inclusion

Location: India ABOUT HUMAN ARCHIVE Human Archive is a data lab modeling human embodied intelligence. We're researchers from Stanford, Berkeley, NYU GRAIL, UPenn GRASP, JHU Robotics and national robotics champions, backed by Y Combinator and $8.2M. Hardware — We design, manufacture and calibrate thousands of custom collection rigs, gloves and wrist cameras, with our hardware team in Shenzhen. Operations — We have 100+ full-time team members collecting large-scale multimodal video and sensor data from 100,000+ contributors and 500+ industry partners across homes, hotels, restaurants, agriculture, manufacturing, construction and retail in 30+ countries. In India, our operations are headquartered in Bengaluru and run live across Delhi NCR, Bengaluru, Mumbai, Goa etc. Software — We develop custom 3D perception and annotation models tailored to our hardware, and train robot policies on our datasets. Our SLAM and hand-pose models achieve state-of-the-art performance. Despite decades of research, we still barely understand how humans think, move or interact with the world. Human Archive's datasets are foundational infrastructure for automating manual labor, increasing global abundance and advancing our understanding of the brain. ABOUT THE ROLE As an Operations Manager, you own the deployment. From the moment equipment leaves our storage point to the moment the day's data is verified, it is yours to run — a team of five to six operators, a live site, and a set of problems nobody can solve for you from a desk. The stakes are real. Robots learn from what we capture. A deployment run well produces data that trains machines to work with their hands; a deployment run badly produces footage nobody can use. That call gets made on the floor, by you, in the moment. It suits someone who is equally comfortable talking to a mechanic mid-shift and holding a strict data protocol when a site is pushing back. Most people can do one. We are looking for the ones who can do both. A DAY ON DEPLOYMENT Reporting time varies by deployment and can be early morning. A typical day runs as follows. - Start of day — Reach the storage point, for example our Gurgaon dark store. Collect and verify camera units, batteries, memory cards and accessories against the assigned inventory on the app. - Travel — Move to the deployment site with your team. - On arrival — Meet the site point of contact. Walk the floor and confirm the day's capture plan, including which workers and stations are being recorded. - Briefing — Brief your five to six operators. Assign stations, fit camera systems on the workers, run a test capture. - Collection — Run the day's capture. Move between stations checking framing, battery levels and storage. Handle what goes wrong: a worker steps away, a shift changes, a station becomes inaccessible. You make the call on the spot. - Wrap — Close capture and complete the taxonomy for everything collected on task level. - Day end — Return to the storage point, reconcile inventory with the dark store manager, flag damaged units, transfer data and submit the deployment report. RESPONSIBILITIES - Collect and verify camera inventory, batteries and accessories from the local storage point each morning - Travel with your team to the deployment site and set up for the day's collection - Brief and manage five to six field operators through the collection plan - Meet and coordinate with the site point of contact, typically a Director, Operations Head or owner of a factory, resort or restaurant - Check data quality through the day, including camera framing, battery levels and storage - Complete and verify the taxonomy for all footage collected on site - Reconcile inventory at day end and return it to the dark store manager - Transfer and upload the day's data, and submit the deployment report WHO WE'RE LOOKING FOR Non-negotiable - Strong spoken English and Hindi. You are often our first point of contact with Directors, Operations Heads and owners of factories, resorts and restaurants. - Willingness to work on site and travel, not from a desk - Ability to give clear direction to field teams in Hindi and English - Ability to make decisions independently when a deployment does not go to plan We're hiring two kinds of people 1. Freshers: 2025 and 2026 pass-outs Startup internship experience strongly preferred. If you have interned at an early-stage company and know what it is like when the process does not exist yet and you have to build it, this role will make sense to you. 2. People with 1–3 years of field or operations experience Prior experience as an Operations Manager, City Ops, Fleet Ops or Field Ops at a startup. Quick commerce, home services, hyperlocal delivery and on-demand backgrounds map directly onto this role — companies like Snabbit, Blinkit, Zepto, Swiggy, Urban Company, Rapido and Porter. Prior experience is useful but not required. We train on our protocol and taxonomy. What we cannot train is spoken English and ownership. THIS ROLE IS NOT FOR YOU IF - You want a fixed desk and a fixed city - You want predictable 10-to-6 hours - You are uncomfortable spending your day on factory floors, in kitchens and on shop floors - You would rather escalate a problem than solve it on the spot TRAVEL This role requires substantial travel. A typical month may include a week in Delhi NCR, a week in Bengaluru and a week in Assam. You should be comfortable with this before applying. - Base location is Delhi NCR. - All outstation work-related travel, accommodation, meals and commute are paid by the company and are not part of your CTC. WORKING SCHEDULE - 6-day work week - Actual working hours are approximately 9 to 10 hours. On deployment days a significant part of the day is spent travelling, over and above working hours. - Reporting time depends on the deployment and can be early morning. - Sunday deployments are limited to a maximum of two per month. - On non-deployment days you handle data transfer and upload, deployment planning, reporting and site coordination. These days run on more regular hours. ELIGIBILITY - Any graduate degree (BBA, BA, B.Com http://B.Com, BHM, B.Tech http://B.Tech or equivalent). Hospitality, hotel management and general management backgrounds do particularly well in this role. - Batch: 2025 and 2026 pass-outs, or up to 3 years of relevant experience - No minimum CGPA cutoff. We hire on the interview, not the marksheet. COMPENSATION - Total CTC: ₹4.2–7 LPA, based on interview performance - 100% fixed. There is no variable or performance-linked component. - Probation: 2 months at full salary. No deduction during probation. - No service bond or training bond of any kind. REPORTING AND GROWTH You report to the Zone Head and the Operations Head, and work directly with the founding team. Each Operations Manager runs one deployment team of five to six field operators, with a home city and rotation across active national sites. Typical progression for strong performers: - Regional Manager — around 8 months. Owns multiple deployment teams across a zone. - City Head — around 18 months. Owns a city's full operations, including site partnerships and vendor relationships. We expect our operations leadership to come from this cohort.

Location: Manila, Philippines Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models. What We Offer This is a project-based independent contractor opportunity designed to provide supplemental income. Earn USD $3.50 for every hour of approved video footage submitted. Compensation is based on approved video submissions, not hours worked. Videos are reviewed to ensure they meet Workstream's quality and project requirements before payment is approved. Payment schedules and submission guidelines will be shared during onboarding. Note: This opportunity is intended to complement your existing job or business. Contractors record authentic workplace activities as part of their normal work—not staged demonstrations—and are compensated only for footage accepted by Workstream. About The Role Workstream is collecting first-person video demonstrations of real-world physical tasks performed in commercial and workplace environments. These videos help develop and improve next-generation robotics, artificial intelligence (AI), computer vision, and automation technologies. This is a project-based, independent contractor opportunity designed to provide supplemental income. Contractors record approved workplace activities using camera equipment provided by Workstream. Compensation is based on approved video submissions rather than hours worked. As a Paid Video Contributor , you'll record first-person videos while performing your regular work in an approved commercial or business environment. These recordings help train and improve robotics and AI technologies by capturing authentic workplace activities. What You'll Do Record first-person videos while performing your normal work tasks (no computer, screen-based, repetitive work). Use the camera equipment provided by Workstream. Follow recording, safety, and privacy guidelines. Obtain approval from Workstream and permission from your workplace before recording. Upload videos through Workstream's platform. Maintain recording equipment and apply feedback to improve future submissions. Meet the minimum target of 20 hours per week. Examples of Tasks You may record activities such as: Operating tools or equipment Organizing or restocking inventory Picking, packing, assembling, or preparing items Cleaning work areas or equipment Moving or storing materials Maintenance, repair, fabrication, or construction work Warehouse, retail backroom, or commercial kitchen tasks Other approved physical workplace activities You may NOT record activities such as: Operating vehicles, working at a computer, scrolling your phone, tasks in the dark, task in which your hands get obscured by objects etc., idle activities, overly repetitive tasks. Approved Recording Locations Recording is permitted only in approved commercial environments, including warehouses, workshops, retail stores, restaurants, commercial kitchens, construction sites, manufacturing facilities, offices with physical operations, and other business locations. Residential homes are not permitted unless specifically approved by Workstream. What We're Looking For At least 18 years old Currently working in or have access to an approved commercial workplace Able to obtain permission from your workplace to record Comfortable wearing a head-mounted camera Able to follow instructions and quality standards Reliable internet for uploading videos Detail-oriented and responsive to feedback Onboarding & Documentation Requirements If you qualify to take part in the project, you will be required to complete onboarding verification before filming begins. This includes providing: A copy of a valid government-issued ID (required to secure and issue the camera equipment provided by Workstream) Signed consent and release forms to record in accordance with privacy and compliance guidelines. Recording Requirements Videos must: Show a clear first-person perspective Clearly capture your hands, tools, and work activities Be stable, well-lit, and complete Reflect natural, safe, and authorized work activities Meet Workstream's quality and submission requirements Important: All recording locations must be approved by Workstream, and workplace permission must be obtained before any recording begins. Only record tasks you are trained and authorized to perform. Why Join This Project? By participating, you'll help build real-world datasets that contribute to the development of advanced robotics and AI technologies used worldwide. Your everyday work activities can directly support the next generation of intelligent automation while providing an opportunity to earn additional income through approved video submissions. Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Задачи: - Анализировать и описывать бизнес-процессы учёта - Работать с бухгалтерией, финансами, складом, логистикой - Писать ТЗ для 1С-разработчика - Координировать изменения между Админкой, 1С, Axelot (WMS) - Выстраивать процессы тестирования и релизов - Разбираться с интеграциями и системными ошибками - Влиять на качество и стабильность учёта Требования: - 3+ года как 1С-аналитик / консультант - Опыт с 1С:Бухгалтерия, 1С:УТ - Понимание проводок, регистров, закрытия периода, складского учёта - Опыт интеграций 1С ↔️ внешние системы - Умение общаться с бизнесом и "переводить" требования в понятные ТЗ Условия: - Первый in-house 1С-аналитик - Реальное влияние на процессы компании - Возможность построить функцию почти с нуля - Рост до руководителя 1С-направления - Масштабные задачи: новые склады, dark stores, 3PL, алкогольный учёт, интеграции

Location: Athens, Greece About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Role background At Wolt, we create technology that brings joy, simplicity, and earnings to neighborhoods around the world. Since 2014, we’ve grown from delivering restaurant food to delivering (almost) everything, now operating in over 500 cities across 34 countries. In 2022 we joined forces with DoorDash, continuing to dream big and expand globally. The role you’re looking at is part of Wolt Market, our fast-growing grocery delivery service. Wolt Market stores are “dark stores”- designed purely for delivery rather than walk-in shopping. Customers across Greece can order groceries online and have them delivered to their doorstep at lightning speed. Our focus is on customer-first product selection, ultra-fast delivery, and shaping the future of grocery shopping. This role is key to our growth in Greece. We are looking for a full-time Store Manager to lead one of our Athens region dark stores. You’ll oversee operations, manage 2–4 Shift Leads, and ensure smooth daily processes including stock management, freshness, and order accuracy. You’ll hire, train, give daily feedback, and hold 1:1s twice a year to develop your team. You’ll play a central role in shaping how Wolt Market operates locally and drives growth. What you’ll be doing Leading, growing and motivating a team. Creating an environment where your colleagues can do their best work and have fun while working. You’ll get to plan team events with your team - something we aim to do a couple times a year. Your main goal will be to consistently improve the way our stores operate with help from the Operations Team. Fast delivery and fluent operations consist of a large field of things, this is one of the key day to day operational tasks you’ll be working with. Continuous participating in internal and external meeting The role also includes a good collaboration and communication with other functions at Wolt to make sure we have a good selection & right products on sale. Monitoring shrink levels and control the amount of food that goes to waste. Managing shift scheduling. Handling incoming goods and order of the store. Overseeing everything the store and colleagues need to enable fast growth. This includes everything from ordering office supplies or IT-devices to a complete set of new fridges. What we’re hoping you’ll bring Leadership experience and demonstrate the ability to motivate others. Experience from working in a grocery store is a plus. A fast learner with the ability to multitask. Proactive and service-minded are words that describe you. You have a can do-attitude and enjoy the idea of working in a fast-paced entrepreneurial environment. You are tech savvy. You are able to work both during the day, evenings and weekends. Data-driven and analytical, you understand data to help improve and develop. A fluent level of Greece and knowledge of English is required. The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €1.590 — €1.988 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals. Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems Review flagged content to drive enforcement and policy improvements Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows Minimum qualifications Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR) Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues Proficiency in Python for data analysis and automation Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation,  unauthorized access, account farming and reseller abuse, and fraud and scam operations. You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework,  tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work Capable of independently leading complex investigations. Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape Minimum qualifications Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale Have built processes, detection systems, or programs from scratch and can show what changed because of them Communicate crisply with executives, engineers, and external partners alike Preferred qualifications Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale Background in financial crime investigation or fraud analytics Experience working directly with U.S. government stakeholders on threat reporting A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $375,000 — $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Birkirkara, Malta; Limassol, Cyprus; Nicosia, Cyprus About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt Market is Wolt’s own chain of dark stores, designed to deliver exceptional convenience and a world-class customer experience through fast and reliable grocery delivery. We are looking for an experienced Country Manager to lead and grow the Wolt Market business in Cyprus. As a Country Manager, you will be accountable for the overall performance of Wolt Market in the country, owning the local P&L and driving sustainable growth, profitability, and operational excellence. You will lead the local organization across commercial, operations, and supply chain functions, ensuring strong execution and a consistently high standard of customer experience. Working closely with regional stakeholders, you will set priorities, develop local strategy, and build a high-performing team capable of delivering scalable and sustainable business results. Key tasks and responsibilities of the role: Own full country or cluster PnL, including revenue growth, margin development, cost control, and overall profitability. Define and drive the commercial strategy for the market, including assortment, pricing, promotions, and supplier partnerships. Lead and develop local Category, Content and Commercial Finance Operations teams, ensuring strong ownership, capability building, and performance discipline. Ensure healthy order economics by balancing growth initiatives with operational and financial efficiency. Drive structured performance management by defining KPIs, reviewing results, and ensuring corrective actions are implemented when needed. Partner closely with Regional Operations and Supply Chain counterparts to ensure operational capacity, availability, and service levels support commercial plans. Translate regional and global initiatives into clear local action plans, ensuring timely and high quality execution. Identify growth opportunities within the market and develop business plans to capture them. Ensure strong cross functional collaboration in the market and act as the integrator across commercial, operations, and supply chain. Represent the market in regional planning forums and contribute insights to regional and global strategy discussions. Ensure compliance with local regulations, health and safety standards, and company policies. Strengthen reporting frameworks and performance transparency to enable data driven decision making. Qualifications for the role: Strong experience in general management, commercial leadership, or market leadership roles with proven PnL ownership. Extensive experience in retail, grocery, e-commerce, or other multi site operating environments. Strong commercial acumen and negotiation experience with suppliers and external partners. Proven leadership experience, including building and developing high performing teams. Strong analytical skills and ability to translate data into actionable decisions. Experience operating in a matrix organization and collaborating across multiple functional stakeholders. Ability to think strategically while maintaining strong operational focus and attention to detail. Excellent communication and stakeholder management skills. Excellent skills in G Suite or MS Office, especially Excel. Full professional proficiency in English. The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position would be eligible for consideration for an equity award grant of restricted stock units on commence and during the annual pay review cycle. Upon commencement of employment, you would be eligible to be considered for a grant. Thereafter, any further grants would be at the Company's discretion. Pay Range: €6.020 — €7.525 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Split, Croatia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Tražiš dinamičan posao u inovativnoj trgovini bez blagajne i bez direktnog kontakta s kupcima? 🚀 Pridruži se našem timu Wolt Marketa u Splitu i budi dio budućnosti maloprodaje! Očekuje te rad u Wolt Marketima (dark store) gdje pripremaš online narudžbe i pomažeš da kupci dobiju proizvode brzo i točno. 📌 Što ćeš raditi? ✅ Obrada online narudžbi putem aplikacije 📲 ✅ Zaprimanje i skladištenje robe 🏪 ✅ Održavanje točnosti zaliha i označavanje proizvoda 🔄 ✅ Održavanje radnog prostora i praćenje HACCP standarda 🛒 ✅ Rad u timu i brza komunikacija 📢 👌 Što tražimo? 🔹 Odlične organizacijske vještine i preciznost 🔹 Brzinu, snalažljivost i sposobnost rješavanja više zadataka odjednom 🔹 Dobro razumijevanje korisničkog iskustva 🔹 Otvorenost za rad u digitalnim aplikacijama 🔹 Poželjno iskustvo u sličnom poslu ili iskustvo rada u trgovini 🔹 Minimalno srednja stručna sprema 🔹 Poznavanje hrvatskog i engleskog jezika 🎁 Što ti nudimo? 💰 Početna bruto plaća je 1.388,40 €, plus 50% dodataka za noćne i vikend smjene, a što duže ostaneš s nama, to će i tvoja plaća rasti! 🚀 🍽️ Naknada za prehranu 🚆 Pokriveni troškovi javnog prijevoza (do 110 €) 📈 Mogućnost napredovanja na Shift Lead poziciju 🏖️ Minimalno 25 dana godišnjeg odmora + dodatni plaćeni dani 🏋️ Mogućnost korištenja PassSport programa 🎄 Božićnica + ostali benefiti iz kolektivnog ugovora za trgovine 📚 Strukturirano mentoriranje i obuka od 3 tjedna 🎉 Timska druženja i odlična radna atmosfera ⏰ Radno vrijeme 📆 5-dnevni radni tjedan, s mogućnošću povezivanja slobodnih dana 🕗 Smjenski rad (jutarnja i popodnevna smjena, te vikendi) 🚫 Ne radimo blagdanima! 🎓 Kako izgleda uvođenje u posao? 📌 Prva 3 tjedna radit ćeš uz trenera u stvarnom okruženju 📌 Mentorstvo od strane Team Leada 📌 Edukacije, treninzi i radionice za usavršavanje vještina 🔵 Zainteresiran/a? Prijavi se odmah! 💾 Molimo priloži životopis u PDF formatu. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Site Selection Manager About Nebius Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, the Americas and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Secure AI infrastructure before the market does. Demand for AI infrastructure continues to outpace supply. You'll identify and secure strategic opportunities before they become unavailable while balancing speed, scale, risk, and long-term flexibility. Expand the Nebius AI Cloud across the Americas. You'll evaluate emerging markets, develop regional acquisition strategies, and help shape where Nebius invests next as we scale across multiple geographies simultaneously. Structure transactions that accelerate deployment. You'll negotiate colocation agreements, build-to-suit developments, powered land acquisitions, and other infrastructure partnerships that enable AI capacity to come online faster. About the Role As a Site Selection Manager, you'll lead the acquisition of AI infrastructure opportunities across the Americas from market strategy through executed agreements. Working within the Infrastructure Acquisition Group, you'll identify new opportunities, negotiate complex transactions, and partner across Engineering, Energy, Finance, Legal, Technical Due Diligence, Project Development, and Delivery to bring new AI infrastructure online. This is a build-phase role on a build-phase team. Many of the standards, playbooks, and processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex transactions while helping build the systems that make every future deal faster, more consistent, and more scalable. What You'll Own Own the acquisition of AI infrastructure opportunities across the Americas, from market strategy through executed agreements. Develop regional acquisition strategies and maintain a continuous pipeline of qualified colocation, build-to-suit, and powered land opportunities. Lead negotiations across multiple commercial structures, from initial engagement through signed agreements. Serve as transaction owner, leading cross-functional deal teams to keep parallel workstreams aligned and on schedule. Prepare investment recommendations and present commercial, financial, and strategic analyses to executive leadership. Infrastructure Origination Develop acquisition strategies for priority markets across the Americas. Identify, evaluate, and advance colocation, build-to-suit, powered land, and other strategic infrastructure opportunities. Build and maintain relationships with developers, brokers, utilities, landowners, economic development agencies, and infrastructure partners. Assess network connectivity as a core site-selection criterion — long-haul access, carrier availability, and route diversity — engaging the Network team for technical validation. Lead negotiations from initial engagement through executed agreements across multiple commercial structures. Market Strategy Develop market intelligence across power availability, utility constraints, network connectivity and fiber availability (proximity to long-haul routes, carrier and dark-fiber presence, and route diversity), permitting environments, land availability, incentives, and competitive market activity. Identify emerging AI infrastructure markets and recommend long-term acquisition strategies. Build and maintain a continuous pipeline of qualified infrastructure opportunities aligned with Nebius' growth objectives. Monitor regional market trends to support long-term infrastructure planning. Transaction Leadership Serve as the transaction owner from opportunity identification through executed agreements. Lead cross-functional transaction teams across Legal, Finance, Energy, Engineering, Network, Technical Due Diligence, Project Development, and Delivery. Drive transaction schedules, resolve commercial issues, and maintain momentum across multiple parallel workstreams. Structure commercial solutions that balance speed, flexibility, risk, and long-term value. Cross-Functional Collaboration Partner with the Technical Due Diligence team to complete technical evaluations and assess development risk. Partner with the Network team to validate connectivity feasibility and factor long-haul, dark fiber, and points-of-presence considerations into site and market selection. Partner with the Project Development team to transition projects into development and construction readiness. Collaborate with Finance on commercial modeling, investment analysis, and executive approval packages. Work with Legal to negotiate agreements that appropriately allocate commercial and development risk. What Success Looks Like Build a strong pipeline of qualified AI infrastructure opportunities across the Americas. Execute infrastructure transactions that accelerate Nebius' expansion into strategic markets. Develop trusted relationships with developers, utilities, brokers, and strategic infrastructure partners. Deliver acquisition recommendations that balance speed, cost, scale, flexibility, and long-term strategic value. Develop regional market strategies that create a repeatable pipeline of future infrastructure opportunities. Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building processes where none exist. You know how to move complex transactions forward while helping define how future transactions should be executed. 8+ years of experience in data center site selection, commercial real estate, infrastructure development, or large-scale industrial development. Experience leading infrastructure or real estate transactions from opportunity identification through contract execution. Strong understanding of data center infrastructure, utility markets, land development, and commercial negotiations. Experience negotiating land acquisitions, leases, colocation agreements, build-to-suit transactions, or similar infrastructure agreements. Strong commercial judgment and the ability to balance technical, financial, and strategic considerations. Excellent communication and executive presentation skills. Demonstrated ability to lead complex cross-functional initiatives across multiple stakeholders. Bachelor's degree in Business, Finance, Real Estate, Engineering, or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale, AI infrastructure, digital infrastructure, or mission-critical development. Knowledge of utility infrastructure, transmission, substations, renewable energy development, or power markets. Familiarity with the connectivity drivers of data center site selection (power, fiber and network availability, route diversity) and the ability to partner effectively with network engineering teams. Experience with GIS platforms, infrastructure market intelligence, or portfolio planning. Familiarity with data center development, permitting, or infrastructure delivery. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $170,000 — $225,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten. THE ROLE Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ We don’t have a rigid set of skills, but here’s some of what we’re looking for: - A deep understanding of modern ML techniques and tools for training transformers - Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar - A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism - The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library - The ability to perform roofline analysis on a transformer training setup - A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute - Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask - Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect - Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols - A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).